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Stochastic processes : from applications to theory

By: Del Moral, Pierre.
Contributor(s): Penev, Spiridon.
Series: Texts in statistical science.Publisher: Boca Raton : CRC Press, 2017Description: xlviii, 865 p. ; ill. 26 cm.ISBN: 9781498701839.Subject(s): Stochastic processes | Bayesian analysis | Absorption model | Ancestry evolution model | Boltzmann-Gibbs-distribution | Brownian motion | Cauchy problem | Doeblin Ito formula | Dupire formula | Embedded Markov chain | Feynman-Kac measures | Gambling betting systems | Hamiltonian systems | Ising model | Jump diffusion process | Killed process | Likelihood function | Martingale limit theorem | Orthological projection | Path space models | Quasi-invariant measure | Reflection principle | SIS model | Tangent basic functions | Two state Markov model | Urn process | Vasicek model | Wiener process | Yule processDDC classification: 519.23 Summary: Unlike traditional books presenting stochastic processes in an academic way, this book includes concrete applications that students will find interesting such as gambling, finance, physics, signal processing, statistics, fractals, and biology. Written with an important illustrated guide in the beginning, it contains many illustrations, photos and pictures, along with several website links. Computational tools such as simulation and Monte Carlo methods are included as well as complete toolboxes for both traditional and new computational techniques.
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Books 519.23 DEL (Browse shelf) Available 033072

Includes bibliographical references and index.

Unlike traditional books presenting stochastic processes in an academic way, this book includes concrete applications that students will find interesting such as gambling, finance, physics, signal processing, statistics, fractals, and biology. Written with an important illustrated guide in the beginning, it contains many illustrations, photos and pictures, along with several website links. Computational tools such as simulation and Monte Carlo methods are included as well as complete toolboxes for both traditional and new computational techniques.

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